Scoliosis is a deformity of the spine that in severe cases requires surgical treatment. There is
still disagreement among clinicians as to what the aim of such treatment is as well as the …

Background Computational spine models of various types have been employed to
understand spine function, assess the risk that different activities pose to the spine, and …

Abstract Machine-learning based human posture-prediction tools can potentially be robust
alternatives to motion capture measurements. Existing posture-prediction approaches are …

Excessive loads on the human spine is recognized as a risk factor for back injuries/pain.
Various lifting analysis tools such as musculoskeletal models, regression equations and …

Background Multijoint EMG-assisted optimization models are reliable tools to predict muscle
forces as they account for inter-and intra-individual variations in activation. However, the …

About a third of knee joint disorders originate from the patellofemoral (PF) site that makes
stair ascent a difficult activity for patients. A detailed finite element model of the knee joint is …

Conventional electromyography-driven (EMG) musculoskeletal models are calibrated during
maximum voluntary contraction (MVC) tasks, but individuals with low back pain cannot …

This study assessed the effect of a small-torque generating passive back-support
exoskeleton during a low demanding occupational task, namely a repetitive lifting/lowering …

Various interpretations and parameters have been proposed to assess spinal stability such
as antagonist muscle coactivity, trunk stiffness and spinal buckling load; however, the …

The use of powerful robotics tools in modeling and analysis of complex biomechanical
systems has led to the development of computationally effective and scalable human …